3+ years of building models for business application experience
PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
Knowledge of architectural concepts and algorithms, schedule tradeoffs and new opportunities with technical team members
PhD in computer science, electrical engineering, or related field
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
Additional Information
Amazon Rufus Experience Science is seeking a highly motivated Scientist who is passionate about building next-generation shopping experiences. In this role, you will help create conversational shopping journeys where customers can express any shopping need-discovering products, comparing options, finding inspiration, or resolving post-purchase issues. You will collaborate closely with a multidisciplinary team of scientists, engineers, product managers, and designers to deliver these experiences across multiple Rufus customer-facing features. You will thrive in this role if you enjoy bringing latest research into everyday life-both for customers and for yourself. There's nothing quite like realizing that a model you deployed yesterday is already improving your own shopping experience today. You will work side by side with scientists and engineers in a fast-paced environment, driving rapid model development and experimentation. You'll also have access to Amazon's rich datasets, AWS's massive computational resources, and a network of world-class science and engineering leaders across the company.
Key job responsibilities
Execute the science vision and roadmap. Develop data-driven solutions for the real-world, large scale problems. Deliver and maintain software and models in the production environment. Collaborate cross-functionally between product, design, and engineering.
Amazon.com · Seattle, WA